What will you learn in this Functional Programming in Scala Specialization Course
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Write purely functional programs using recursion, pattern matching, and higher-order functions.
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Design immutable data structures and understand their applications.
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Implement parallel algorithms and leverage parallel collections for performance gains.
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Manipulate and analyze big data using Apache Spark and Scala.
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Apply functional programming principles to real-world data-intensive applications.
Program Overview
1. Functional Programming Principles in Scala
⏳ 56 hours
Learn the fundamentals of functional programming, including recursion, pattern matching, and higher-order functions, using Scala.
2. Functional Program Design in Scala
⏳ 35 hours
Explore advanced functional programming concepts such as lazy evaluation, monads, and type-directed programming to design robust Scala applications.
3. Parallel Programming
⏳ 32 hours
Understand the principles of parallel computing and implement parallel algorithms using Scala’s parallel collections and tools.
4. Big Data Analysis with Scala and Spark
⏳ 27 hours
Learn to process and analyze large datasets using Apache Spark, applying functional programming techniques for distributed computing.
5. Capstone Project: Functional Programming in Scala
⏳ 20 hours
Apply the skills acquired throughout the specialization to build a data-intensive application using real-world datasets.
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Job Outlook
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Equips learners for roles such as Scala Developer, Data Engineer, and Big Data Analyst.
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Applicable in industries like finance, technology, and data science.
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Enhances employability by teaching practical skills in functional programming and big data processing.
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Supports career advancement in software development and data engineering roles.
